Zeyi Wang¹, Mingxi Jiao¹, Daliang Wang¹, Minxu Liu¹, Minglei Jiang², He Wang³, Shiqiang Li^3,*

Energy Engineering, Vol.121, No.8, pp. 2275-2291, 2024, DOI:10.32604/ee.2024.028223 - 19 July 2024

Abstract This paper addresses the problem of complex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight method. Three different electrical quantities are selected as observations in the compressed sensing algorithm. The entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance levels. Subsequently, by leveraging the topological information of the power system and pre-designing an overcomplete dictionary of disturbances based on the corresponding system parameter variations caused by disturbances,… More >

Jun Zhou^1,*, Shijie Fang¹, Jinghong Peng¹, Qing Li², Guangchuan Liang^1,*

Energy Engineering, Vol.120, No.1, pp. 221-243, 2023, DOI:10.32604/ee.2022.020317 - 27 October 2022

Abstract Underground energy storage is an important function of all energy supply systems, and especially concerning the seemingly eternal imbalance between production and demand. Salt rock underground energy storage, for one, is widely applied in both traditional and renewable energy fields; and this particular technique can be used to store natural gas, hydrogen, and compressed air. However, resource diversification and structural complexity make the supply system increasingly uncertain with the passing years, leading to great challenges for energy storage facilities in the present, and perhaps going into the future as well. Hence, it is necessary to… More >

Huailin Li^1,2, Chan Zhang¹, Shisheng Zhou^1,2,*, Bin Du^1,2, Xue Li¹

Journal of Renewable Materials, Vol.10, No.12, pp. 3425-3438, 2022, DOI:10.32604/jrm.2022.021157 - 14 July 2022

Abstract Printing quality evaluation is an important means to check whether prints are qualified. However, the current printing quality evaluation system for gravure decorative paper is not perfect. In order to solve this problem, a method for evaluating quality of decorative paper based on analytical hierarchy process (AHP) and the entropy weight method (EWM) model is proposed in this paper. So as to verify the proposed model, decorative paper of different grades was selected as the experimental objects. Firstly, the data about five indices reflecting printing quality were measured. Secondly, the evaluation model was used to More > Graphic Abstract

Zhongfu Tan^1,2, Jing Wang^1,*, Caixia Tan¹, Gejirifu De^3,4

Energy Engineering, Vol.119, No.1, pp. 331-357, 2022, DOI:10.32604/EE.2022.015700 - 22 November 2021

Abstract At present, there are few studies on the comprehensive evaluation of green power grid development in China, and all aspects of green power grid need to be evaluated. Therefore, this paper studies the green development level of power distribution network. This paper proposes a multi-level fuzzy comprehensive evaluation method, which first needs to classify the influencing factors. Therefore, this paper constructs an indicator system for the evaluation of green development of power distribution network from three dimensions. In order to avoid the influence of subjective factors, this paper adopts the model combining analytic hierarchy process More >

Lei Hong^1,*, Jie Yin¹, Ling-Ling Xia¹, Chao-Fan Gong¹, Qi Huang²

Intelligent Automation & Soft Computing, Vol.29, No.2, pp. 437-449, 2021, DOI:10.32604/iasc.2021.016259 - 16 June 2021

Abstract The short-video platform is a social network where users’ content accelerates the speed of information dissemination. Hence, it is necessary to identify important users to effectively obtain information. Four algorithms (Followers Rank, Average Forwarding, K Coverage, and Expert Survey and Evaluation) have been proposed to calculate users’ influence and determine their importance. These methods simply take the number of a user’s fans or posts as the standard of influence evaluation, ignoring factors such as the paid posters, which makes such evaluations inaccurate. To solve these problems, we propose the short-video user influence rank (SVUIR) algorithm, More >